Literature DB >> 24982538

Understanding the burden of tuberculosis among American Indians/Alaska Natives in the U.S.: a validation study.

Laura Jean Podewils1, Emily Alexy2, Stephani Jean Driver2, James E Cheek3, Robert C Holman4, Dana Haberling4, Meghan Brett3, Eugene McCray5, John T Redd6.   

Abstract

OBJECTIVE: We validated cases of active tuberculosis (TB) recorded in the Indian Health Service (IHS) National Patient Information Reporting System (NPIRS) and evaluated the completeness of TB case reporting from IHS facilities to state health departments.
METHODS: We reviewed the medical records of American Indian/Alaska Native (AI/AN) patients at IHS health facilities who were classified as having active TB using International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes from 2006 to 2009 for clinical and laboratory evidence of TB disease. Individuals were reclassified as having active TB disease; recent latent TB infection (LTBI); past positive tuberculin skin test (TST) only; or as having no evidence of TB, LTBI, or a past positive TST. We compared validated active TB cases with corresponding state records to determine if they were reported.
RESULTS: The study included 596 patients with active TB as per ICD-9-CM codes. Based on chart review, 111 (18.6%) had active TB; 156 (26.2%) had LTBI; 104 (17.4%) had a past positive TST; and 221 (37.1%) had no evidence of TB disease, LTBI, or a past positive TST. Of the 111 confirmed cases of active TB, 89 (80.2%) resided in participating states; 81 of 89 (91.2%) were verified as reported TB cases.
CONCLUSIONS: ICD-9-CM codes for active TB disease in the IHS NPIRS do not accurately reflect the burden of TB among AI/ANs. Most confirmed active TB cases in the IHS health system were reported to the state; the national TB surveillance system may accurately represent the burden of TB in the AI/AN population.

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Year:  2014        PMID: 24982538      PMCID: PMC4037461          DOI: 10.1177/003335491412900410

Source DB:  PubMed          Journal:  Public Health Rep        ISSN: 0033-3549            Impact factor:   2.792


  15 in total

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3.  Controlling tuberculosis in an urban emergency department: a rapid decision instrument for patient isolation.

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Journal:  J Clin Epidemiol       Date:  2006-12-18       Impact factor: 6.437

5.  Influenza surveillance using electronic health records in the American Indian and Alaska Native population.

Authors:  James W Keck; John T Redd; James E Cheek; Larry J Layne; Amy V Groom; Sassa Kitka; Michael G Bruce; Anil Suryaprasad; Nancy L Amerson; Theresa Cullen; Ralph T Bryan; Thomas W Hennessy
Journal:  J Am Med Inform Assoc       Date:  2013-06-06       Impact factor: 4.497

6.  Lowering the language barrier: Data quality manager helps coders and physicians understand each other.

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7.  The reliability of diagnostic coding and laboratory data to identify tuberculosis and nontuberculous mycobacterial disease among rheumatoid arthritis patients using anti-tumor necrosis factor therapy.

Authors:  Kevin L Winthrop; Roger Baxter; Liyan Liu; Bentson McFarland; Donald Austin; Cara Varley; LeAnn Radcliffe; Eric Suhler; Dongsoek Choi; Lisa J Herrinton
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-12-10       Impact factor: 2.890

8.  An evaluation of the completeness of tuberculosis case reporting using hospital billing and laboratory data; Wisconsin, 1995.

Authors:  M J Trepka; T O Beyer; M E Proctor; J P Davis
Journal:  Ann Epidemiol       Date:  1999-10       Impact factor: 3.797

9.  Completeness and timeliness of tuberculosis case reporting. A multistate study.

Authors:  A B Curtis; E McCray; M McKenna; I M Onorato
Journal:  Am J Prev Med       Date:  2001-02       Impact factor: 5.043

10.  Real-time surveillance for tuberculosis using electronic health record data from an ambulatory practice in eastern Massachusetts.

Authors:  Michael S Calderwood; Richard Platt; Xuanlin Hou; Jessica Malenfant; Gillian Haney; Benjamin Kruskal; Ross Lazarus; Michael Klompas
Journal:  Public Health Rep       Date:  2010 Nov-Dec       Impact factor: 2.792

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